Manufacturing & Industrial Engineering Expert

micro1; United States; Remote; USD 117,000 - 255,000; Full time

Job summary

micro1 is a data lab that helps AI labs and enterprises train models by building evaluation problems in manufacturing and industrial engineering. The Manufacturing & Industrial Engineering Expert works as a contractor, fully remote, delivering challenging technical problems and correct solutions with clear reasoning.

You’ll design problems in process design, production systems, and related domains, and define objective criteria for correctness.

Qualifications

• Master’s or PhD in manufacturing, industrial, or mechanical engineering.
• Principal-level industry experience or a faculty appointment.

Responsibilities

• Design difficult technical problems from your area with realistic constraints and data.
• Provide the correct solution and walk through the reasoning.
• Define objective criteria for correctness for consistent review.
• Review problems built by other contributors for accuracy.
• Flag ambiguous or ungradable problems.

Skills

Technical depth in a subdomain

Engineering judgment under constraints

Knowing when an answer is wrong

Manufacturing and industrial engin

Process design

Production systems

Education

Master’s or PhD in manufacturing, industrial, or mechanical engineering

Job description

Pay: $85 - $185/hour

Required Skills

• Technical Depth in a Subdomain
• Engineering Judgment Under Constraints
• Knowing When an Answer Is Wrong
• Manufacturing and industrial engineering
• Process Design
• Production Systems

About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role Title: Manufacturing & Industrial Engineering Expert

Role Type: Contractor

Location: Remote

Opportunity Snapshot

Pay: $80- $185/hour

Commitment: Flexible — fits alongside your current role

Location: Fully remote

You’ll need: Master’s or PhD in manufacturing, industrial, or mechanical engineering, plus principal-level industry experience or a faculty appointment

Your tasks: Build challenging technical problems from your own domain and define what makes an answer correct

The problems where the textbook answer isn’t enough, where the right approach depends on reading the constraints correctly, where a plausible-looking solution is quietly wrong. You’ll build those problems, provide the correct analysis, and define what separates a right answer from one that only looks right.

What you’ll do

• Design difficult technical problems from your own area — process design, production systems, quality engineering, automation, supply chain and operations modeling — with realistic constraints and supporting data.
• Provide the correct solution and walk through the reasoning that gets there.
• Define objective criteria for correctness, so another expert reviewing the work would reach the same verdict.
• Review problems built by other contributors for technical accuracy and soundness of method.
• Flag problems that turn out to be ambiguous or ungradable rather than submitting them.

What we’re looking for

• Master’s or PhD in manufacturing, industrial, mechanical engineering, or a closely related field.
• Principal, staff, or fellow-level experience at a major manufacturing organization, or a faculty appointment at a leading university.
• Deep technical depth in at least one subdomain, with hands‑on ownership of the work.
• Able to explain why an answer is correct clearly enough that another engineer could verify it.
• Publications, patents, or a record of technical leadership is a strong plus.
• AI or LLM evaluation experience is a plus, but not required.

Have any questions? See FAQs